Energy internet energy unit dynamic optimization matching method

Abstract

The invention discloses an energy internet energy unit dynamic optimization matching method. The method comprises the following steps: step 1, modeling an energy internet energy routing network basedon a graph theory; step 2, modeling an energy matching index between the energy units by applying a neural network technology; 3, constructing an energy internet unit optimization matching problem based on the principle that local absorption is prior and wide area interconnection is later, and expressing the energy internet unit optimization matching problem as an integer programming problem; 4, learning an optimal energy unit matching exponential function by using a reinforcement learning technology; 5, solving an actual energy unit dynamic matching optimization problem; 6, applying the obtained energy unit matching strategy to energy routing of an energy internet system. The method has high pertinence and application value, that is, the method focuses on optimal matching between different energy units of the energy internet, and is professional in design and practical.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method for dynamically optimizing and matching energy Internet energy units. Background technique [0002] The Energy Internet, which involves multiple fields and disciplines such as energy, information, and electricity, is an important means to improve the intelligence level of the energy system, solve the energy crisis of human society, and alleviate the process of climate change and global warming. With the development and improvement of the concept and structure of the Energy Internet, related technologies have also been practiced in the Energy Internet demonstration projects. In a bottom-up energy Internet scenario, multiple energy routers (referred to as: routers) are connected to each other to form an energy routing network. Different energy units are connected to energy routers through information and power interfaces, and open and peer-to-peer exchange of energy ...

AI Technical Summary

Problems solved by technology

[0005] The advanced features of the Energy Internet, such as open sharing and peer-to-peer interconnection, have been at the theoretical level for a long time since they were proposed, and have not been realized in practical engineering applications. An important reason is the lack of intelligent dynamic energy unit matching algorithms.

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